Skill UI

This skill guides users through an in-depth interview process to achieve maximum project context completeness (100% "Gold Code") for their .faf file. By systematically asking questions about project goals, architecture, and technology stack, it ensures all critical context slots are filled, making the project fully structured and highly readable by AI systems.

Prevents AI style drift in legacy projects by scanning codebases for implicit conventions, resolving conflicts with users, and generating enforceable .ai-style-rules.md files with golden files, naming rules, and DONTs. Ideal for onboarding AI agents to hand-written legacy codebases or extracting unwritten coding rules.

FAF Go is a guided interview skill designed to help users achieve 100% AI-readiness in their .faf project context files. It leverages Claude Code's AskUserQuestion tool to fill missing project details like goals, stack, and hosting. Users type /faf-go to start, answering questions until the Gold Code score reaches 100%. It supports single and multi-select options for fields like testing and CI/CD.